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SCHWARZEROVÁ, J.; RAJASEKARAN, L.; JUREČKOVÁ, K.; NEJEZCHLEBOVÁ, J.; VARGA, M.; PROVAZNÍK, V.; WECKWERTH, W.; ČEJKOVÁ, D.
Original Title
Visualizing Horizontal Gene Transfer Detection in Phylogenetically Divergent Bacteria
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
Horizontal Gene Transfer (HGT) plays an important and indispensable role in the evolution of bacterial genomes, serving as a mechanism that contributes to genetic diversity and enables adaptation across phylogenetically distant taxa. This study introduces an analysis tool implemented as an R package for detecting HGT events in diverse bacterial lineages. The tool combines the integration of a heat-map matrix with phylogenetic analysis visualization techniques to enhance the accuracy and efficiency of HGT event detection. We applied it to a diverse set of bacterial genomes from chicken and pig gut and expanded the results with established methods for HGT detection. The findings demonstrate the capability of our visualization techniques to pinpoint HGT events, offering a valuable tool for researchers to explore the intricate dynamics of bacterial genome evolution.
English abstract
Keywords
Mobilome; Bioinformatics Data Visualization; Interspecies Gene Transfer; Advanced Comparative Phylogenetics
Key words in English
Authors
RIV year
2025
Released
28.08.2024
Publisher
Springer Nature
ISBN
978-3-031-64636-2
Book
Lecture Notes in Bioinformatics
Edition
14849
1611-3349
Periodical
Lecture Notes in Computer Science
Volume
Number
II.
State
Swiss Confederation
Pages from
267
Pages to
277
Pages count
11
URL
https://link.springer.com/chapter/10.1007/978-3-031-64636-2_20
BibTex
@inproceedings{BUT189428, author="Jana {Schwarzerová} and Laxmipriya {Rajasekaran} and Kateřina {Šabatová} and Julie {Nejezchlebová} and Margaret {Varga} and Valentýna {Provazník} and Wolfram {Weckwerth} and Darina {Čejková}", title="Visualizing Horizontal Gene Transfer Detection in Phylogenetically Divergent Bacteria", booktitle="Lecture Notes in Bioinformatics", year="2024", series="14849", journal="Lecture Notes in Computer Science", volume="14849", number="II.", pages="267--277", publisher="Springer Nature", doi="10.1007/978-3-031-64636-2\{_}20", isbn="978-3-031-64636-2", url="https://link.springer.com/chapter/10.1007/978-3-031-64636-2_20" }